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CI: version-gate the nightly-mode deselects so they auto-clean

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CI: Auto-label PRs by path on: pull_request_target

Auto-label by changed paths

CI: Enforce assignee/label/milestone on PRs on: pull_request_target

PR has assignee, labels, and milestone

CI: Restricted Paths Guard on: pull_request_target

Apply review label if needed

Static Analysis: Bandit Scan on: push

analyze

Static Analysis: CodeQL Scan on: push

Analyze (python)

CI on: push 13

ci-vars

should-skip

detect-changes

Build linux-64, CUDA 13.3.0 / py3.10

Build linux-64, CUDA 13.3.0 / py3.11

Build linux-64, CUDA 13.3.0 / py3.12

Build linux-64, CUDA 13.3.0 / py3.13

Build linux-64, CUDA 13.3.0 / py3.14

Build linux-64, CUDA 13.3.0 / py3.14t

Build linux-64, CUDA 13.3.0 / py3.15

Build linux-64, CUDA 13.3.0 / py3.15t

Build linux-aarch64, CUDA 13.3.0 / py3.10

Build linux-aarch64, CUDA 13.3.0 / py3.11

Build linux-aarch64, CUDA 13.3.0 / py3.12

Build linux-aarch64, CUDA 13.3.0 / py3.13

Build linux-aarch64, CUDA 13.3.0 / py3.14

Build linux-aarch64, CUDA 13.3.0 / py3.14t

Build linux-aarch64, CUDA 13.3.0 / py3.15

Build linux-aarch64, CUDA 13.3.0 / py3.15t

Build win-64, CUDA 13.3.0 / py3.10

Build win-64, CUDA 13.3.0 / py3.11

Build win-64, CUDA 13.3.0 / py3.12

Build win-64, CUDA 13.3.0 / py3.13

Build win-64, CUDA 13.3.0 / py3.14

Build win-64, CUDA 13.3.0 / py3.14t

Build win-64, CUDA 13.3.0 / py3.15

Build win-64, CUDA 13.3.0 / py3.15t

Test sdist linux-64 / Test sdist builds

Test sdist win-64 / Test sdist builds

Test linux-64 / compute-matrix

Test linux-64 / Python 3.10, CUDA 12.9.1 (local), GPU v100

Test linux-64 / Python 3.10, CUDA 13.0.2 (wheels), GPU l4

Test linux-64 / Python 3.10, CUDA 13.3.0 (wheels), GPU l4

Test linux-64 / Python 3.11, CUDA 12.9.1 (wheels), GPU rtxpro6000

Test linux-64 / Python 3.11, CUDA 13.0.2 (local), GPU l4

Test linux-64 / Python 3.11, CUDA 13.3.0 (local), GPU l4

Test linux-64 / Python 3.12, CUDA 12.9.1 (local), GPU l4

Test linux-64 / Python 3.12, CUDA 13.0.2 (wheels), GPU l4

Test linux-64 / Python 3.12, CUDA 13.3.0 (wheels), GPU l4

Test linux-64 / Python 3.13, CUDA 12.9.1 (wheels), GPU v100

Test linux-64 / Python 3.13, CUDA 13.0.2 (local), GPU rtxpro6000

Test linux-64 / Python 3.13, CUDA 13.3.0 (local), GPU rtxpro6000

Test linux-64 / Python 3.14, CUDA 12.9.1 (wheels), GPU t4

Test linux-64 / Python 3.14, CUDA 13.0.2 (local), GPU l4

Test linux-64 / Python 3.14, CUDA 13.3.0 (local), GPU l4

Test linux-64 / Python 3.14t, CUDA 12.9.1 (local), GPU t4

Test linux-64 / Python 3.14t, CUDA 13.0.2 (local), GPU l4

Test linux-64 / Python 3.14t, CUDA 13.3.0 (local), GPU l4

Test linux-64 / Python 3.15, CUDA 13.3.0 (wheels), GPU l4

Test linux-64 / Python 3.15t, CUDA 13.3.0 (wheels), GPU l4

Test linux-64 / Python 3.13, CUDA 13.0.2 (local), GPU h100

Test linux-64 / Python 3.13, CUDA 13.3.0 (local), GPU h100

Test linux-64 / Python 3.14, CUDA 13.3.0 (local), GPU t4 (x2)

Test linux-64 / Python 3.14t, CUDA 13.3.0 (local), GPU h100 (x2)

Test linux-64 / Python 3.11, CUDA 12.9.1 (wheels), GPU t4, wsl

Test linux-64 / Python 3.12, CUDA 13.3.0 (wheels), GPU rtx4090, wsl

Docs / Build docs

Test linux-aarch64 / compute-matrix

Test linux-aarch64 / Python 3.10, CUDA 12.9.1 (local), GPU a100

Test linux-aarch64 / Python 3.10, CUDA 13.0.2 (wheels), GPU l4

Test linux-aarch64 / Python 3.10, CUDA 13.3.0 (wheels), GPU a100

Test linux-aarch64 / Python 3.11, CUDA 12.9.1 (wheels), GPU l4

Test linux-aarch64 / Python 3.11, CUDA 13.0.2 (local), GPU a100

Test linux-aarch64 / Python 3.11, CUDA 13.3.0 (local), GPU l4

Test linux-aarch64 / Python 3.12, CUDA 12.9.1 (local), GPU a100

Test linux-aarch64 / Python 3.12, CUDA 13.0.2 (wheels), GPU l4

Test linux-aarch64 / Python 3.12, CUDA 13.3.0 (wheels), GPU a100

Test linux-aarch64 / Python 3.13, CUDA 12.9.1 (wheels), GPU l4

Test linux-aarch64 / Python 3.13, CUDA 13.0.2 (local), GPU a100

Test linux-aarch64 / Python 3.13, CUDA 13.3.0 (local), GPU l4

Test linux-aarch64 / Python 3.14, CUDA 12.9.1 (wheels), GPU a100

Test linux-aarch64 / Python 3.14, CUDA 13.0.2 (local), GPU l4

Test linux-aarch64 / Python 3.14, CUDA 13.3.0 (local), GPU a100

Test linux-aarch64 / Python 3.14t, CUDA 12.9.1 (local), GPU l4

Test linux-aarch64 / Python 3.14t, CUDA 13.0.2 (wheels), GPU a100

Test linux-aarch64 / Python 3.14t, CUDA 13.3.0 (local), GPU l4

Test win-64 / compute-matrix

Test win-64 / Python 3.10, CUDA 12.9.1 (wheels), GPU rtx2080 (WDDM)

Test win-64 / Python 3.10, CUDA 13.0.2 (local), GPU rtxpro6000 (TCC)

Test win-64 / Python 3.10, CUDA 13.3.0 (local), GPU rtxpro6000 (TCC)

Test win-64 / Python 3.11, CUDA 12.9.1 (local), GPU v100 (MCDM)

Test win-64 / Python 3.11, CUDA 13.0.2 (wheels), GPU rtx4090 (WDDM)

Test win-64 / Python 3.11, CUDA 13.3.0 (wheels), GPU rtx4090 (WDDM)

Test win-64 / Python 3.12, CUDA 12.9.1 (wheels), GPU l4 (MCDM)

Test win-64 / Python 3.12, CUDA 13.0.2 (local), GPU a100 (TCC)

Test win-64 / Python 3.12, CUDA 13.3.0 (local), GPU a100 (TCC)

Test win-64 / Python 3.13, CUDA 12.9.1 (local), GPU l4 (TCC)

Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM)

Test win-64 / Python 3.13, CUDA 13.3.0 (wheels), GPU rtxpro6000 (MCDM)

Test win-64 / Python 3.14, CUDA 12.9.1 (wheels), GPU v100 (TCC)

Test win-64 / Python 3.14, CUDA 13.0.2 (local), GPU l4 (MCDM)

Test win-64 / Python 3.14, CUDA 13.3.0 (local), GPU l4 (MCDM)

Test win-64 / Python 3.14t, CUDA 12.9.1 (local), GPU l4 (TCC)

Test win-64 / Python 3.14t, CUDA 13.0.2 (wheels), GPU a100 (MCDM)

Test win-64 / Python 3.14t, CUDA 13.3.0 (wheels), GPU a100 (MCDM)

Test win-64 / Python 3.14, CUDA 13.3.0 (local), GPU t4 (x2) (TCC)

Test win-64 / Python 3.14, CUDA 13.3.0 (wheels), GPU h100 (x2) (MCDM)

Check job status

CI: Nightly optional-deps on: push 2

find-wheels

Nightly PyTorch (linux-64) / compute-matrix

Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126

Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130

Nightly PyTorch (linux-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126

Nightly PyTorch (linux-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130

Nightly PyTorch (linux-aarch64) / compute-matrix

Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.12.1+cu126

Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.12.1+cu130

Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4, 2.9.1+cu126

Nightly PyTorch (linux-aarch64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4, 2.9.1+cu130

Nightly PyTorch (win-64) / compute-matrix

Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.12.1+cu126

Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.12.1+cu130

Nightly PyTorch (win-64) / Python 3.12, CUDA 12.6.3 (wheels), GPU l4 (TCC), 2.9.1+cu126

Nightly PyTorch (win-64) / Python 3.12, CUDA 13.0.2 (wheels), GPU l4 (TCC), 2.9.1+cu130

Nightly numba-cuda (linux-64) / compute-matrix

Nightly numba-cuda (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest

Nightly numba-cuda (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest

Nightly numba-cuda (linux-aarch64) / compute-matrix

Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4, latest

Nightly numba-cuda (linux-aarch64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4, latest

Nightly numba-cuda (win-64) / compute-matrix

Nightly numba-cuda (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU l4 (TCC), latest

Nightly numba-cuda (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU l4 (TCC), latest

Nightly numba-cuda-mlir (linux-64) / compute-matrix

Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000

Nightly numba-cuda-mlir (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000

Nightly numba-cuda-mlir (win-64) / compute-matrix

Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 12.9.1 (wheels), GPU rtxpro6000 (MCDM)

Nightly numba-cuda-mlir (win-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU rtxpro6000 (MCDM)

Nightly cuda-core (linux-64) / compute-matrix

Nightly cuda-core (linux-64) / Python 3.12, CUDA 13.3.0 (wheels), GPU a100

Nightly cuda-core (win-64) / compute-matrix

Nightly cuda-core (win-64) / Python 3.14, CUDA 13.3.0 (wheels), GPU a100 (MCDM)

Nightly standard (linux-aarch64) / compute-matrix

Nightly standard (linux-aarch64) / Python 3.14, CUDA 13.3.0 (local), GPU l4 (x2)

Nightly standard (linux-aarch64) / Python 3.14t, CUDA 13.3.0 (local), GPU l4 (x2)

Nightly check status

Auto-label by changed paths

succeeded Jul 1, 2026 in 6s

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